Regional Projections of Rainfall Extremes in Sri Lanka: Developing Future IDF Curves Under Climate Change
Abstract
Regional Projections of Rainfall Extremes in Sri Lanka: Developing Future IDF Curves Under Climate Changeby
Abstract This study developed future regional Intensity-Duration-Frequency curves for Sri Lanka using climate change scenarios to address the growing need for adaptive infrastructure planning. Rainfall projections were generated with the CNRM-CM6-1 global climate model under Shared Socioeconomic Pathways (SSP) for moderate (SSP2-4.5) and high (SSP5-8.5) emission [...] |
Bridging the Gap Between Laboratory Efficiency and Real Wastewater Performance: A Critical Review of Rare-Earth-Doped Metal Oxide Photocatalysts for Dye DegradationAbstract Photocatalytic degradation of organic dyes using semiconductor materials has been widely investigated for wastewater treatment. Yet, high activity reported under controlled laboratory conditions does not necessarily translate into practical treatment performance. This review evaluates the hypothesis that rare-earth (RE) doping can improve metal-oxide [...] |
Scenario-Based Assessment of Life-Cycle GHG Emissions from Grid-Connected Photovoltaic Systems under Different Electricity Mixesby
Abstract This study evaluates the carbon-related performance of grid-connected photovoltaic (PV) systems under different electricity-generation mixes using a literature-based, scenario-oriented life-cycle GHG emissions assessment. A 1 MWp utility-scale crystalline-silicon PV reference system was defined with an annual electricity generation of 1,640 MWh, a 30 [...] |
Transforming Liver Transplant Care with Artificial Intelligence: A Narrative ReviewAbstract Outcomes in liver transplantation remain constrained by challenges in donor selection, organ allocation, and long-term graft survival, and traditional scoring systems such as MELD, SOFT, and the Donor Risk Index have well-recognized limitations in capturing the nonlinear complexity of transplant data. Artificial intelligence (AI), including machine [...] |
Formation Testing Permeability and Pore Pressure Prediction in Open Hole and Isolated Straddle Packer ApplicationsAbstract Knowledge of permeability, which measures a rock formation’s resistance to fluid flow, is essential to energy exploration, oilfield development and economic viability, since its value directly relates to cash flow and outlay: the greater permeability is, the faster monetary gains are realized, the lower the initial investment required. Formation testi [...] |
Modern Vision Transformer Models for Accurate and Explainable Brain Tumor MRI Classificationby
Abstract Accurate brain tumor classification from magnetic resonance imaging (MRI) remains difficult because glioma, meningioma, and pituitary tumors may exhibit overlapping enhancement, morphology, and slice-dependent appearance. This study presents a controlled comparison of Vision Transformer, Data-efficient Image Transformer (DeiT), Swin Transformer, BEiT [...] |
Micro-Encapsulation of All Six Trace Minerals to Reduce Inclusion While Maintaining Performance and Carcass Traits of BroilerAbstract Trace minerals (Cu, Fe, Mn, Zn, I and Se) are essential components of numerous enzymes thus indispensable for metabolism, immunity, growth and reproduction. Inorganic forms of these minerals (ITM) are widely used in the poultry industry often with much in excess in order to cover various uncertainties, resulting in not only oxidative deterioration of [...] |
Real-Time Prediction of Anisotropies kh and kv in Dual Axial Probe Formation TestingAbstract Understanding anisotropy in reservoir dynamics is essential to energy exploration, oilfield development and economic viability since this indicator describes the natural flow directions preferred by the underground fluid. Quantifying its effects allows oil companies to design drilling programs and production facilities that extract the greatest benefit [...] |
Modular Integrated Construction Management of Post-Disaster SettlementsAbstract This research addresses how BIM can help manage the construction of post-disaster settlements utilizing the MiC technique. First, previous research work in this field is reviewed. Then, the challenges explored through literature synthesis and prioritization of BIM usage in the management of MiC projects were identified based on the qualitative opinions [...] |
Predicting Tumor Mutational Burden in Prostate Cancer Using Deep Learning on Histopathological Imagesby
Abstract Tumor mutational burden (TMB) is a critical biomarker associated with the response to immunotherapy in prostate cancer. The heterogeneity of tumors can complicate the prediction of TMB, making reliable detection essential for effective treatment planning. Recent advancements in deep learning (DL) have facilitated the analysis of histopathological images [...] |
Genomic Mechanisms of Plant Adaptation to Salinity and Drought Stress: Genes, Networks, and Evolutionary Implicationsby
Abstract Salinity and drought stresses induced by climate change pose critical threats to global food security, necessitating a comprehensive insight of plant adaptive mechanisms at the genomic level. This review brings together recent advances in identifying genes, regulatory networks, and evolutionary strategies underlying plant responses to osmotic stress [...] |
Evaluation of Sugarcane Bagasse as a Biosorbent for Arsenic Removal from Groundwater in Mórrope, PeruAbstract The presence of arsenic in groundwater poses a significant threat to public health, particularly in rural areas lacking access to treatment technologies. In Mórrope, concentrations exceeding regulatory limits have been detected, necessitating sustainable solutions. The objective of this study was to evaluate the efficiency of sugarcane bagasse as a [...] |
Precision Brain Tumour Diagnosis with Convolutional Recurrent Attention NetworksAbstract Histological heterogeneity and complex imaging patterns make brain tumour diagnosis difficult. In order to make timely clinical decisions and plan personalised treatment, MRI multi-class brain tumour classification must be accurate. Expert evaluation in conventional image interpretation increases diagnostic burden and inter-observer variability. While [...] |
Mapping Research on Genetics and Educational Outcomes: A Bibliometric Review (1970-2025)Abstract This bibliometric review analyzes 387 Scopus-indexed publications (1970-2025) on the relationship between genetics and education, retrieved with the query (“Genetics” AND “Academic Performance”) OR (“Heritability” AND “Education”). Research output was minimal until the 2000s, then expanded rapidly with the rise of twin cohorts and, after [...] |
Adapting Arctic Military and Cold-Region Infrastructure to Accelerating Climate Change: A 25-Year Bibliometric and Six-Nation Comparative ReviewAbstract Amid accelerating Arctic warming-occurring at nearly four times the global rate-cold-region infrastructure faces escalating risks from permafrost thaw, sea-level rise, and compound climate stressors. This study presents a 25-year (2001-2026) review combining bibliometric analysis with a six-nation comparative synthesis to evaluate infrastructure vulnera [...] |
Incorporating Video Feedback into a Cognitive-Behavioral Intervention for Treating Childhood Anxiety: Initial Findings after Delivering Super Skills for LifeAbstract The present study examined the effectiveness of a transdiagnostic intervention programme, Super Skills for Life (SSL), in children with clinical anxiety. SSL, in addition to the principles of cognitive and behavioral therapy, also incorporates video feedback and cognitive preparation as essential components of the treatment. The program was implemented [...] |
Battery-Less Off-Grid Renewable Microgrid: A Review of Storage Alternatives and PV-WT-CSP Integration with Green HydrogenAbstract Renewable energy systems play a critical role in reducing carbon emissions and promoting energy sustainability. Conventional battery storage remains the dominant but problematic solution for intermittency management in off-grid renewable energy systems (RES), imposing high capital costs ($150-400/kWh for lithium-ion), short replacement cycles of 3-15 [...] |
Clinical Outcomes of Living-Donor Kidney Transplants with Multiple Renal Arteries Compared to Single Renal Artery: A Systematic Review and Meta-Analysisby
Abstract Multiple renal arteries in living-donor kidney transplantation create technical challenges, but their effect on clinical outcomes is unclear. This review assessed whether grafts with multiple renal arteries differ in short-term outcomes compared with single renal artery grafts. Following PRISMA 2020 guidelines and PROSPERO registration, a systematic [...] |
Engineering Macro-Sized Optical Materials, Miniaturized Instrumentation and Methods: Tuning Quantum-, Nano-Scales from the Near Field to Far Field ApplicationsAbstract In this commentary article, the discussion is about how optics from tiny-sized structures formed by a few atoms and molecules was the beginning of higher-sized effects and phenomena forming part of micro- and macro-sized materials with targeted functions, smart responses, and instrumentation of varied dimensions used daily for well-being. In this manner [...] |
Biohydrogels (BioHGs): Sources, Physicochemical Properties, Applications, Current Challenges - A Reviewby
Abstract Since 1894, hydrogels (HGs) have advanced from simple water-swollen colloids to poly (2-hydroxyethyl methacrylate) (pHEMA)-based biomedical materials introduced in 1960. Further, the journey continued towards innovative, stimuli-responsive hybrid systems in 2025. Once limited to wound dressings and contact lenses, HGs have now formed a multi-billion [...] |
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